/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.carbondata.util

import java.text.SimpleDateFormat
import java.time.Instant

import org.apache.spark.sql.Row
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
import org.apache.spark.sql.catalyst.util.DateTimeUtils

object SparkStreamingUtil {

  def convertInternalRowToRow(expressionEncoder: ExpressionEncoder[Row]): InternalRow => Row = {
    expressionEncoder.createDeserializer().apply
  }

  def checkInstant(value: Any, timeStampFormat: SimpleDateFormat): String = {
    value match {
      case instant: Instant =>
        // if value is instant, convert instant time to java timestamp
        timeStampFormat format DateTimeUtils.toJavaTimestamp(DateTimeUtils.instantToMicros(instant))
      case other => other.toString
    }
  }
}
